A multiplatform metabolomic approach to characterize fecal signatures of negative postnatal events in chicks: a pilot study
A multiplatform metabolomic approach to characterize fecal signatures of negative postnatal events in chicks: a pilot study作者机构:BOAINRAUniversitéde Tours37380 NouzillyFrance Universitéde ToursPST Analyse des systèmes biologiquesToursFrance PRCINRACNRSUniversitéde ToursIFCE37380 NouzillyFrance UMR 1253iBrainUniversitéde ToursInsermToursFrance CHRU de ToursService de Médecine Nucléaire In VitroToursFrance.
出 版 物:《Journal of Animal Science and Biotechnology》 (畜牧与生物技术杂志(英文版))
年 卷 期:2019年第10卷第2期
页 面:424-434页
核心收录:
基 金:supported financially by a “crédits incitatifs” grant from the department of Animal Physiology and Livestock Systems(PHASE)at INRA a grant from the Integrated Management of Animal Health metaprogram of INRA for the “GISA-WHELP” project(www.gisa.inra.fr/en)
主 题:Biomarker Chick Feces GC-MS LC-HRMS Negative postnatal event
摘 要:Background: Negative experiences in early life can induce long-lasting effects on the welfare, health, and performance of farm animals. A delayed placement of chicks in rearing houses has negative effects on their performance, and results in fecal-specific odors detectable by rats. Based on this observation, the volatile organic compounds(VOCs) and metabolites from the feces of 12-day-old chickens were screened for early markers of response to negative events using gas-chromatography and liquid-chromatography coupled with mass spectrometry(GC-MS, LC-HRMS).Results: The low reproducibility of solid-phase micro-extraction of the VOCs followed by GC-MS was not suitable for marker discovery, in contrast to liquid extraction of metabolites from freeze-dried feces followed by GC-MS or LC-HRMS analysis. Therefore, the fecal metabolome from 12-day-old chicks having experienced a normal or delayed placement were recorded by GC-MS and LC-HRMS in two genotypes from two experiments. From both experiments, 25 and 35 metabolites, respectively explaining 81% and 45% of the difference between delayed and control chickens, were identified by orthogonal partial least-squares discriminant analysis from LC-HRMS and GC-MS ***: The sets of molecules identified will be useful to better understand the chicks’ response to negative events over time and will contribute to define stress or welfare biomarkers.